Deterministic AI safety policy engine with Z3 formal verification. Write, verify, simulate, and enforce machine-verifiable safety constraints for AI agents. Completely outside the LLM.
A secure mathematical computation sandbox that enables LLMs to perform symbolic math operations like algebra, calculus, and equation solving via SymPy. It features low-latency execution through pre-warmed process pools and provides standardized JSON outputs for reliable agent integration.
Provides deterministic, verifiable text/code/measurement utilities for AI agents, enabling tasks like unit conversion, citation formatting, diffing, proofreading, readability scoring, and syntax checking with re-executable proof.